Generating Multi-Monitor Recommendations

2. The IHS of claim 1, wherein the collected window information comprises: an identification of a foreground window, and coordinates of the foreground window.

3. The IHS of claim 1, wherein the collected window information comprises: an identification of a background window, coordinates of the background window, and a last time the background window received at least one of a keyboard or mouse input.

4. The IHS of claim 1, wherein the program instructions, upon execution, cause the IHS to remove at least one record from the collected window information in response to the record being associated with an application that has been closed.

5. The IHS of claim 1, wherein the program instructions, upon execution, cause the IHS to remove at least one record from the collected window information in response to the record being associated with an application that has not received at least one of a keyboard or mouse input for a specified amount of time.

6. The IHS of claim 1, wherein the program instructions, upon execution, cause the IHS to use the collected window information to determine a number of background windows that overlap a foreground window, and wherein the multi-monitor recommendation is created, at least in part, based upon the number of background windows.

7. The IHS of claim 1, wherein the program instructions, upon execution, cause the IHS to use the collected window information to determine a number of instances of background and foreground window swapping within a specified time duration, and wherein the multi-monitor recommendation is created, at least in part, based upon the number of instances of background and foreground window swapping.

8. The IHS of claim 1, wherein the program instructions, upon execution, cause the IHS to use the collected window information to determine an amount of overlap between a background window and a foreground window, and wherein the multi-monitor recommendation is created, at least in part, based upon the amount of overlap.

9. The IHS of claim 1, wherein the program instructions, upon execution, cause the IHS to use the collected window information to identify at least one edge of a current display that is insufficient to render an entire background or foreground window, and wherein the multi-monitor recommendation is created, at least in part, based upon the identified edge.

10. The IHS of claim 1, wherein to generate the multi-monitor recommendation, the program instructions, upon execution, cause the IHS to compare the collected window information against one or more recommendation thresholds set based upon historical recommendations.

11. The IHS of claim 1, wherein to generate the multi-monitor recommendation, the program instructions, upon execution, cause the IHS to process the collected window information using a machine learning (ML) engine.

14. The method of claim 13, further comprising removing at least one record from the collected window information in response to the record being associated with an application that has been closed.

15. The method of claim 13, further comprising removing at least one record from the collected window information in response to the record being associated with an application that has not received at least one of a keyboard or mouse input for a specified amount of time.

16. The method of claim 13, further comprising using the collected window information to determine a number of background windows that overlap a foreground window, and wherein the multi-monitor recommendation is created, at least in part, based upon the number of background windows.

17. The method of claim 13, further comprising using the collected window information to determine a number of instances of background and foreground window swapping within a specified time duration, and wherein the multi-monitor recommendation is created, at least in part, based upon the number of instances of background and foreground window swapping.

18. The method of claim 13, further comprising using the collected window information to determine an amount of overlap between a background window and a foreground window, and wherein the multi-monitor recommendation is created, at least in part, based upon the amount of overlap.

19. The method of claim 13, further comprising using the collected window information to identify at least one edge of a current display that is insufficient to render an entire background or foreground window, and wherein the multi-monitor recommendation is created, at least in part, based upon the identified edge.

20. The method of claim 13, further comprising comparing the collected window information against one or more recommendation thresholds set based upon historical recommendations.